Abstract

In supply chains, companies are forced to produce in a
more sustainable way. Amongst others, this involves the reporting of various sustainability indicators to legal entities. To gather necessary data from their suppliers, companies must employ long-running, cross-organizational data collection processes. Being dependent on many com-
panies and contextual factors such processes imply great variability, are manually managed, and tend to be tedious and error prone. This paper proposes an approach for automated contextual process configuration that also supports humans with lightweight, correct modeling and exe-
cution of configurable processes.